Welcome to the Transformers Pipeline Playground! This project provides an interactive interface to explore and experiment with various transformer models using Hugging Face’s transformers library. Whether you’re a seasoned NLP practitioner or just getting started, this playground offers a hands-on experience with state-of-the-art models.
Features ✨
- Interactive Model Exploration: Load and test different transformer models directly in your browser.
- User-Friendly Interface: Utilizes Gradio to create an accessible web-based UI.
- Flexible Pipeline Selection: Choose from a variety of pipelines such as text generation, sentiment analysis, and more.
To set up the Transformers Pipeline Playground locally, follow these steps: 1. Clone the Repository:
git clone https://github.com/canstralian/transformers-pipeline-playground.git cd transformers-pipeline-playground
2. Install Dependencies:
It’s recommended to use a virtual environment:
python3 -m venv env
source env/bin/activate # On Windows, use env\Scripts\activate
Then, install the required packages:
pip install -r requirements.txt
After installing the dependencies, you can launch the application with:
python app.py
This will start a local server. Open your browser and navigate to the displayed URL to access the interface.
How It Works 🧠
The application leverages Hugging Face’s transformers library to load pre-trained models and create pipelines for various NLP tasks. The user interface is built with Gradio, providing an easy way to interact with the models.
Contributions are welcome! If you have ideas for improvements or new features, feel free to open an issue or submit a pull request.
This project is licensed under the Apache License 2.0. See the LICENSE file for details.
Note: Remember, with great transformer power comes great responsibility. Use the models ethically and consider the implications of their outputs.
